Rerandomization and Regression Adjustment

Rerandomization and Regression Adjustment

Neyman Seminar
Aug 22, 2018, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Peng Ding, UC Berkeley
Randomization is a basis for the statistical inference of treatment effects without assumptions on the outcome generating process. Appropriately using covariates further yields more precise estimators in randomized experiments. In his seminal work Design of Experiments, R. A. Fisher suggested blocking on discrete covariates in the design stage and conducting the analysis of covariance (ANCOVA) in...